Triple
T7761518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tammy Reid |
E176031
|
entity |
| Predicate | supportsOrganizationType |
P13222
|
FINISHED |
| Object | health-related charities |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: health-related charities | Statement: [Tammy Reid, supportsOrganizationType, health-related charities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsOrganizationType Context triple: [Tammy Reid, supportsOrganizationType, health-related charities]
-
A.
supportsOrganization
chosen
Indicates that one entity provides assistance, resources, or advocacy that helps sustain or advance an organization.
-
B.
containsOrganizationType
Indicates that an entity includes or is associated with an organization of a specified organizational type (e.g., company, nonprofit, government agency).
-
C.
supportsOrganizationUseCase
Indicates that one entity provides the necessary functionality or conditions for an organization to carry out a specific use case or operational scenario.
-
D.
usedByOrganizationType
Indicates that something is utilized or employed by organizations of a specified type.
-
E.
supportsInstitutionType
Indicates that one entity provides backing, resources, or endorsement specifically for a particular type or category of institution.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c69962923c8190ac74d28b4f9fe0a0 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c705257ca08190a78c592a1e616da8 |
completed | March 27, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69c7016df2b08190b2330a2010691431 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:09 p.m.